About
I am a first-year second-year graduate student at University of Minnesota, Twin Cities, pursuing a Master’s in Robotics. Currently, I serve as a Graduate Teaching Assistant, mentoring students.
Education
2023 - present
University of Minnesota, Twin Cities
Master's (M.Sc.) in Robotics
Artificial Intelligence • Computer Vision • Machine Learning • Reinforcement Learning • Natural Language Processing • Robotic Systems
2018 - 2023
Birla Institute of Technology and ScienceBachelor's (B.E.) in Mechanical Engineering and Master's (M.Sc.) in Biological Science
Robotics • Autonomous Mobile Robotics • Engines, Motors and Mobility • Vibrations and Control • Optimization
Projects
Feb 2025
![[object Object]](/politician.png)
Fact-CheckerPython • Flask • Docker • AWS • CI/CD
RAG system that lets you ask questions about Tim Walz and receive concise fact-checking answers with authorized sources. (For @AI x Journalism Hackathon)
Oct 2024
![[object Object]](/titanic.png)
End-to-End Machine Learning ModelPython • Flask • Docker • AWS • CI/CD
Logistic Regression model to predict passenger survival on the Titanic. The project encompasses model serialization, deployment as a RESTful API using Flask, containerization with Docker, and establishing CI/CD pipelines to automate testing and deployment on AWS EC2.
Jun 2024
RentFree - WebAppReact • NodeJS • MongoDB • Express • AWS
Full stack web application enabling users to list, search, and manage rental properties and integrating secure user authentication and authorization with real-time updates on property availability and inquiries
Dec 2023
Apple Detection and CountingPython • YOLOv8 • 3D Reconstruction • Filtering
Apple detection pipeline with YOLOv8, achieving 85.2% accuracy. Developed 3D point clouds using COLMAP and DBSCAN for clustering apple points. Applied RANSAC for ground and trunk detection, improving yield estimation by 16%.
Work Experience
Jun 2024 - present
Graduate Research AssistantLarge Language Models • Mathematical Modeling
Collaborated on developing a Bayesian inference model to analyze consumer decision-making using LLMs for optimal product evaluation. Conducted research on Transformer architecture, including tokenization and attention mechanisms, to understand Generative AI's role in consumer behavior.
Feb 2023 - Jun 2023
Financial Analyst InternPython • Excel Macros • VBA
Automated the analysis of Pension IPV, reducing CPV graph preparation time by 40%. Utilized Python, UBS tools, Totem, and Bloomberg to enhance financial data analysis
Other Collaborations
Dec 2019 - May 2022
Summer ResearcherPython • Data Analysis
Worked on robotic grasping using Haar Wavelet Transform to detect slip and load, which modeled the appropriate force range
Dec 2019 - May 2022
Undergraduate Student ResearcherPython • Data Analysis
Worked on three different projects: Evolutionary bioinformatics, Design of PEM cell and Hodgkin-Huxley model
Aug 2020 - Dec 2020
Data Scientist Intern InternPython • Data Analysis
Pre-processed and analyzed the telecom's site outage parameters’ and developed a primary machine learning classification pipeline for the same.
Links
Github
Leetcode
A big shoutout to Maxime Bonhomme for his awesome website repository!